log-message-processor

Log Message Processor

This service is written in Python. This is a consumer that listens for new messages in Redis queue and prints message content to the standard output.

Configuration

The service scans environment for variables:

• REDIS_HOST - host of Redis
• REDIS_PORT - port of Redis
• REDIS_CHANNEL - channel the processor is going to listen to

Building

pip3 install -r requirements.txt

Running

REDIS_HOST=127.0.0.1 REDIS_PORT=6379 REDIS_CHANNEL=log_channel python3 main.py

Dependencies

Here you can find the software required to run this microservice, as well as the version we have tested.

Dependency	Version
Redis	7.0
Python	3.6
Pip	default

default is the one comes with Python

---

Docker

To run this application in docker you need to also initialize the other microservices, but first of all you need to create a network.

Docker network creation

We need to have all the containers of the microservices in the same network, so they can interact with each other to create a network with docker you need to run in your terminal this command:

 docker network create example

This will create a network called example in docker. To check the list of networks that are currently active you can run:

 docker network ls

Running the docker

This is the fourth microservice you need to run You need to build the image of the application, so you need to create a Dockerfile in this folder, you can do it with:

 touch Dockerfile

Now to build the application you need to run:

 docker build --tag log_message_proccesor .

And also, you need to create a redis server container, so we will create this container with image that is alredy in Docker hub as:

 docker run --rm --net example --name redis-db -d -it -p 6379:6379 redis

Now to run the image of this microservice, you need to run this command:

 docker run --rm --net example --name log-message -d \
    --env REDIS_CHANNEL=log_channel \
    --env REDIS_PORT=6379 \
    --env REDIS_HOST=redis-db \
    log_message_proccesor

In order, each line does:

1. will add the image to the network | Give a name to the container | Run it in background
2. A environment variable
3. A environment variable
4. A environment variable
5. The image that we are going to run

Dependencies

Here you can find the software required to run this microservice in docker, as well as the version we have tested.

Dependency	Version
Docker	20.10.17